Vice President, Data Science, Consumer Data

Company Description

As part of Publicis Media, our leadership is defined by experience, commitment, and continuity across our vast network. Helming our agencies and teams are some of the most seasoned experts in the industry, committed to doing the best for our people and our clients every day, and bound together by our inclusive and humane culture. No matter whether we're recruiting new talent or devising new media campaigns for our clients, we put the humanity and identity of real people at the forefront of everything we do. And our peerless history of continuous learning and innovation means we never stand pat.

Publicis Media is the #1 media network in North America, made of a family of world-class media agencies, solutions, and talent. Together, we comprise more than 23,000 people in more than 60 countries, united to serve the world's best-known and most successful brands.

About The Publicis Data Engine:

Publicis CoLab is a fully integrated, cross-discipline, “power of one” solution that provides best-in-class media and marketing services to our client, Pfizer. Through the Data Engine, we create brand movements at the speed of people’s lives by connecting real-time data with world-class creative, content, and media in service of growth and ROI. We pride ourselves on combining the energetic atmosphere of a startup company with the stability and experience of a global leader.

Job Description

We are seeking an experienced and highly skilled VP-Level Data Scientist to join our dynamic and growing team. In this role, you will be responsible for delivering audience solutions, developing new ROI based optimizations, and orchestrating optimal message and channel decisions for our clients, working closely with creative, media, and data teams across an integrated team across Publicis Groupe. By utilizing privacy-compliant technologies and applying data science techniques, you will build and deliver real-world insights to ensure personalized communications strategies that resonate with unique audiences, inspire health engagement that drive behavior change and outcomes. The ideal candidate will have a strong background in clinical and consumer models, and exceptional communication and collaboration skills to effectively translate insights into actionable recommendations.

Responsibilities:

• Consult with clients and internal agency stakeholders to understand their business objectives, target audiences, and communication strategies.
• Utilize real-world data sources and privacy-compliant technologies to analyze and derive insights that inform audience segmentation, targeting and messaging strategies.
• Collaborate closely with creative, media, and data teams to ensure seamless integration of data-driven insights into their respective workflows.
• Develop and implement data science techniques and methodologies to uncover patterns, trends, and behavioral insights from complex data sets.
• Employ statistical analysis and predictive modeling to identify actionable opportunities for optimizing communications strategies.
• Build and deliver impactful presentations, reports, and visualizations that effectively communicate data-driven insights and recommendations to clients and internal teams.
• Embrace the agile process for delivery, participating in sprint planning, stand-up meetings and iterative development cycles to ensure speed and agility in project execution.
• Stay up-to-date with industry trends and advancements in real-world data, data science techniques, privacy regulations, and AWS technologies to ensure best practices and compliance.
• Foster a collaborative environment by actively engaging with cross-functional teams, encouraging knowledge sharing, and promoting a culture of data-driven decision-making.
• Provide mentorship and guidance to junior members of the team, fostering their growth and development.

Qualifications

• Proven experience in a similar role, delivering real-world data insights and/or audience solutions to clients.
• Strong expertise in marketing or advertising, including knowledge of data sources, data collection methodologies.
• Proficiency in data science techniques such as statistical modeling, machine learning, predictive analytics, and data visualization.
• Experience with AWS platforms and services for data processing, storage, and analysis.
• Strong SQL skills for data querying, transformation, and analysis.
• Experience working with Spark or other Big Data technologies.
• Exceptional communication skills with the ability to translate complex data concepts into actionable insights for both technical and non-technical stakeholders.
• Excellent collaboration and interpersonal skills, with the ability to work effectively with cross-functional teams and build strong working relation